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Python Web Scraping Cookbook

You're reading from   Python Web Scraping Cookbook Over 90 proven recipes to get you scraping with Python, microservices, Docker, and AWS

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781787285217
Length 364 pages
Edition 1st Edition
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Author (1):
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Michael Heydt Michael Heydt
Author Profile Icon Michael Heydt
Michael Heydt
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Toc

Table of Contents (13) Chapters Close

Preface 1. Getting Started with Scraping 2. Data Acquisition and Extraction FREE CHAPTER 3. Processing Data 4. Working with Images, Audio, and other Assets 5. Scraping - Code of Conduct 6. Scraping Challenges and Solutions 7. Text Wrangling and Analysis 8. Searching, Mining and Visualizing Data 9. Creating a Simple Data API 10. Creating Scraper Microservices with Docker 11. Making the Scraper as a Service Real 12. Other Books You May Enjoy

Using an HTTP cache for development

The development of a web crawler is a process of exploration, and one that will iterate through various refinements to retrieve the requested information. During the development process, you will often be hitting remote servers, and the same URLs on those servers, over and over. This is not polite. Fortunately, scrapy also comes to the rescue by providing caching middleware that is specifically designed to help in this situation.

How to do it

Scrapy will cache requests using a middleware module named HttpCacheMiddleware. Enabling it is as simple as configuring the HTTPCACHE_ENABLED setting to True:

process = CrawlerProcess({
'AUTOTHROTTLE_TARGET_CONCURRENCY': 3
})
process.crawl...
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